Summary of The Hidden Influence Of Latent Feature Magnitude When Learning with Imbalanced Data, by Damien A. Dablain and Nitesh V. Chawla
The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Databy Damien A. Dablain,…
The Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Databy Damien A. Dablain,…
Learning to Steer Markovian Agents under Model Uncertaintyby Jiawei Huang, Vinzenz Thoma, Zebang Shen, Heinrich…
Asymptotic Normality of Generalized Low-Rank Matrix Sensing via Riemannian Geometryby Osbert BastaniFirst submitted to arxiv…
psifx – Psychological and Social Interactions Feature Extraction Packageby Guillaume Rochette, Matthew J. Vowels, Mathieu…
Convex space learning for tabular synthetic data generationby Manjunath Mahendra, Chaithra Umesh, Saptarshi Bej, Kristian…
IoT-LM: Large Multisensory Language Models for the Internet of Thingsby Shentong Mo, Russ Salakhutdinov, Louis-Philippe…
Towards Understanding Epoch-wise Double descent in Two-layer Linear Neural Networksby Amanda Olmin, Fredrik LindstenFirst submitted…
Free-form Grid Structure Form Finding based on Machine Learning and Multi-objective Optimisationby Yiping Meng, Yiming…
Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine…
LFFR: Logistic Function For (single-output) Regressionby John ChiangFirst submitted to arxiv on: 13 Jul 2024CategoriesMain:…